Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications

by Amir Masoud Rahmani, Robert Colby, Pethuru Raj Chelliah

Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications

Model Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key applications of the AI paradigm, including...

• Format: Hardcover
• Language: English
• ISBN: 1394219210
• ISBN13: 9781394219216
• Release Date: November 2024
• Publisher: Wiley-IEEE Press
• Length: 432 Pages
• Weight: 2.10 lbs.
• Dimensions: 0.9" x 7.0" x 10.0"